Data Science Dojo

FEBRUARY 1, 2023

Azure Synapse provides a unified platform to ingest, explore, prepare, transform, manage, and serve data for BI (Business Intelligence) and machine learning needs. In this blog, we will explore how to optimize performance and reduce costs when using dedicated SQL pools in Azure Synapse Analytics.

Azure 195

Azure SQL Analytics Analytics 195

Flipboard

NOVEMBER 27, 2024

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis. or a later version) database.

ETL 139

ETL Data Warehouse Analytics Analytics 139

Pickl AI

NOVEMBER 4, 2024

Summary: Open Database Connectivity (ODBC) is a standard interface that simplifies communication between applications and database systems. It enhances flexibility and interoperability, allowing developers to create database-agnostic code. What is Open Database Connectivity (ODBC)?

Database 52

Database SQL ETL Azure 52

Pickl AI

NOVEMBER 5, 2024

JDBC, for Java-specific environments, offers efficient Java-based database connectivity, while ODBC provides a versatile, language-independent solution. Introduction Database connectivity is a crucial link between applications and databases , allowing seamless data exchange. What is JDBC? billion by 2024 at a CAGR of 15.2%.

Database 52

Database SQL Python Database Administration 52

Analytics Vidhya

JANUARY 26, 2024

Try Metabase, an open-source Business Intelligence (BI) tool for creating interactive dashboards from large datasets. Introduction Are you a passionate data professional exploring new tools? In today’s data-driven world, BI platforms like Metabase are essential for extracting insights and facilitating informed decision-making.

Data Visualization 353

Data Visualization Analytics Analytics Business Intelligence 353

Dataconomy

APRIL 27, 2023

What is an online transaction processing database (OLTP)? But the true power of OLTP databases lies beyond the mere execution of transactions, and delving into their inner workings is to unravel a complex tapestry of data management, high-performance computing, and real-time responsiveness.

Database 159

Database Data Scientist Data Mining Data Mining 159

AWS Machine Learning Blog

AUGUST 8, 2024

Managing and retrieving the right information can be complex, especially for data analysts working with large data lakes and complex SQL queries. This post highlights how Twilio enabled natural language-driven data exploration of business intelligence (BI) data with RAG and Amazon Bedrock.

SQL 132

SQL Data Lakes Data Analyst AWS 132

Smart Data Collective

JULY 22, 2019

Big or small, every business needs good tools to analyze data and develop the most suitable business strategy based on the information they get. Business intelligence tools are means that help companies get insights from their data and get a better understanding of what directions and trends to follow. Boost Productivity.

Business Intelligence 103

Business Intelligence Business Intelligence Power BI Tableau 103

Smart Data Collective

FEBRUARY 20, 2022

Since databases store companies’ valuable digital assets and corporate secrets, they are on the receiving end of quite a few cyber-attack vectors these days. How can database activity monitoring (DAM) tools help avoid these threats? What is the role of machine learning in monitoring database activity? How do DAM solutions work?

Database 130

Database Machine Learning Machine Learning Data Warehouse 130

Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. This aspect can be applied well to Process Mining, hand in hand with BI and AI.

Data Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

AWS Machine Learning Blog

AUGUST 1, 2024

In this post, we demonstrate the process of fine-tuning Meta Llama 3 8B on SageMaker to specialize it in the generation of SQL queries (text-to-SQL). Solution overview We walk through the steps of fine-tuning an FM with using SageMaker, and importing and evaluating the fine-tuned FM for SQL query generation using Amazon Bedrock.

SQL 130

SQL AWS ML ML 130

AWS Machine Learning Blog

OCTOBER 24, 2024

The analyst will also be able to quickly create a business intelligence (BI) dashboard using the results from the ML model within minutes of receiving the predictions. Basic knowledge of a SQL query editor. Database name : Enter dev. Database user : Enter awsuser. A SageMaker domain. Choose Add connection.

Data Warehouse 117

Data Warehouse Machine Learning Machine Learning Cloud Data 117

AWS Machine Learning Blog

DECEMBER 4, 2024

They have structured data such as sales transactions and revenue metrics stored in databases, alongside unstructured data such as customer reviews and marketing reports collected from various channels. Use Amazon Athena SQL queries to provide insights.

AWS 109

AWS AI AI SQL 109

Pickl AI

MARCH 3, 2025

Summary: Business Intelligence Analysts transform raw data into actionable insights. Key skills include SQL, data visualization, and business acumen. From customer interactions to market trends, every aspect of business generates a wealth of information. What Is Business Intelligence?

Business Intelligence 52

Business Intelligence Business Intelligence Data Analyst Data Visualization 52

Dataconomy

MARCH 17, 2025

Natural Language Query (NLQ) enables users to query databases using everyday language rather than specialized query languages like SQL. What is Natural Language Query (NLQ)? This user-friendly approach to data access resembles conversational interaction, making analytics more approachable for non-experts.

Natural Language Processing 91

Natural Language Processing Power BI Analytics Analytics 91

Smart Data Collective

APRIL 8, 2020

Data warehouse, also known as a decision support database, refers to a central repository, which holds information derived from one or more data sources, such as transactional systems and relational databases. They have undergone significant transformation since then, with modern warehouses housing largescale terabyte capacities.

Data Warehouse 144

Data Warehouse Big Data Big Data Big Data Analytics 144

Data Science Dojo

MAY 18, 2023

Getting Started with SQL Programming: Are you starting your journey in data science? Then you’re probably already familiar with SQL, Python, and R for data analysis and machine learning. If you’re new to SQL, this beginner-friendly tutorial is for you!

Data Science 195

Data Science AI AI SQL 195

Dataconomy

MARCH 24, 2023

In today’s fast-paced business landscape, companies need to stay ahead of the curve to remain competitive. Business intelligence (BI) has emerged as a key solution to help companies gain insights into their operations and market trends. What is business intelligence?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

In today’s fast-paced business landscape, companies need to stay ahead of the curve to remain competitive. Business intelligence (BI) has emerged as a key solution to help companies gain insights into their operations and market trends. What is business intelligence?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Pickl AI

JANUARY 28, 2025

Summary: Understanding Business Intelligence Architecture is essential for organizations seeking to harness data effectively. By implementing a robust BI architecture, businesses can make informed decisions, optimize operations, and gain a competitive edge in their industries. What is Business Intelligence Architecture?

Business Intelligence 52

Business Intelligence Business Intelligence ETL Data Lakes 52

IBM Journey to AI blog

MARCH 14, 2024

Also, traditional database management tasks, including backups, upgrades and routine maintenance drain valuable time and resources, hindering innovation. Such infrastructure should not only address these issues but also scale according to the demands of AI workloads, thereby enhancing business outcomes.

AWS 93

AWS Database ETL AI 93

How to Learn Machine Learning

APRIL 26, 2025

Data can be generated from databases, sensors, social media platforms, APIs, logs, and web scraping. Data can be in structured (like tables in databases), semi-structured (like XML or JSON), or unstructured (like text, audio, and images) form. Data Sources and Collection Everything in data science begins with data.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Pickl AI

JANUARY 25, 2023

The easiest skill that a Data Science aspirant might develop is SQL. Management and storage of Data in businesses require the use of a Database Management System. This blog would an introduction to SQL for Data Science which would cover important aspects of SQL, its need in Data Science, and features and applications of SQL.

SQL 52

SQL Data Science Database Data Analysis 52

Pickl AI

DECEMBER 15, 2024

It enables organisations to perform complex queries and analyses, making it a crucial element for business intelligence and decision-making processes. Unlike operational databases, which support daily transactions, data warehouses are optimised for read-heavy operations and analytical processing. What Are Materialized Views?

Data Warehouse 52

Data Warehouse ETL Database Data Quality 52

AWS Machine Learning Blog

MAY 30, 2024

In this post, we describe how CBRE partnered with AWS Prototyping to develop a custom query environment allowing natural language query (NLQ) prompts by using Amazon Bedrock, AWS Lambda , Amazon Relational Database Service (Amazon RDS), and Amazon OpenSearch Service. The wrapper function runs the SQL query using psycopg2.

AWS 133

AWS SQL Database AI 133

Dataconomy

SEPTEMBER 27, 2023

The Microsoft Certified Solutions Associate and Microsoft Certified Solutions Expert certifications cover a wide range of topics related to Microsoft’s technology suite, including Windows operating systems, Azure cloud computing, Office productivity software, Visual Studio programming tools, and SQL Server databases.

Database Administration 113

Database Administration Database Azure Cloud Computing 113

Pickl AI

MARCH 24, 2025

MOLAP (Multidimensional OLAP): MOLAP stores data in a specialized multidimensional database, optimized for fast query performance. ROLAP (Relational OLAP) ROLAP uses the existing relational database as the data source. Queries are translated into SQL statements and executed against the relational database.

Data Analysis 52

Data Analysis Data Analysis Database Analytics 52

phData

JULY 10, 2024

Sigma Computing , a cloud-based analytics platform, helps data analysts and business professionals maximize their data with collaborative and scalable analytics. One of Sigma’s key features is its support for custom SQL queries and CSV file uploads. Mastering custom SQL and CSVs in Sigma is essential for several reasons.

SQL 52

SQL Data Warehouse Analytics Analytics 52

Data Science Dojo

JANUARY 12, 2023

Some NoSQL databases are also utilized as platforms for data lakes. Securely store, and catalog data Data lakes let you store both relational and non-relational data, including data from social media, IoT (Internet of Things) devices, operational databases, and line-of-business applications.

Data Lakes 221

Data Lakes Data Warehouse Hadoop Machine Learning 221

Cambridge Intelligence

OCTOBER 19, 2023

That’s why our data visualization SDKs are database agnostic: so you’re free to choose the right stack for your application. There have been a lot of new entrants and innovations in the graph database category, with some vendors slowly dipping below the radar, or always staying on the periphery. can handle many graph-type problems.

Database 59

Database Azure Analytics Analytics 59

ODSC - Open Data Science

FEBRUARY 24, 2023

There are many well-known libraries and platforms for data analysis such as Pandas and Tableau, in addition to analytical databases like ClickHouse, MariaDB, Apache Druid, Apache Pinot, Google BigQuery, Amazon RedShift, etc. VisiData works with CSV files, Excel spreadsheets, SQL databases, and many other data sources.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Smart Data Collective

JUNE 16, 2022

This tool can be great for handing SQL queries and other data queries. Trend analysis, financial reporting, and sales forecasting are frequently aided by OLAP business intelligence queries. ( Several or more cubes are used to separate OLAP databases. You need to utilize the best tools to handle these tasks. see more ).

Analytics 139

Analytics Analytics Data Scientist Data Warehouse 139

Smart Data Collective

SEPTEMBER 26, 2021

The raw data can be fed into a database or data warehouse. An analyst can examine the data using business intelligence tools to derive useful information. . There are countless implementations to choose from, including SQL and NoSQL databases. It’s not necessary to alter the schema to add to the database. .

Database 130

Database Data Visualization Big Data Big Data 130

Pickl AI

NOVEMBER 5, 2024

Introduction Business Intelligence (BI) tools are crucial in today’s data-driven decision-making landscape. Tableau and Power BI are leading BI tools that help businesses visualise and interpret data effectively. To provide additional information, the global business intelligence market was valued at USD 29.42

Power BI 52

Power BI Tableau Business Intelligence Business Intelligence 52

Dataconomy

JULY 24, 2023

” Data management and manipulation Data scientists often deal with vast amounts of data, so it’s crucial to understand databases, data architecture, and query languages like SQL. Look for internships in roles like data analyst, business intelligence analyst, statistician, or data engineer.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

ODSC - Open Data Science

SEPTEMBER 27, 2023

In this article, we will delve into the concept of data lakes, explore their differences from data warehouses and relational databases, and discuss the significance of data version control in the context of large-scale data management. This is particularly advantageous when dealing with exponentially growing data volumes.

Data Lakes 98

Data Lakes Data Warehouse Database Big Data 98

AWS Machine Learning Blog

DECEMBER 29, 2022

It makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. The CloudFormation script created a database called sagemaker. Let’s populate this database with tables for the RStudio user to query. arrange(merchant_category_code).

AWS 141

AWS Machine Learning Machine Learning Clustering 141